Michele Fiore

1.6k citations
96 papers · 1.0k · h-index 18

Impact in

Papers in

Michele Fiore

90 papers receiving 1.0k citations

Peers

Michele Fiore
Comparison fields: 5 of 89
  • Radiation 116
  • Pulmonary and Respiratory Medicine 322
  • Radiology, Nuclear Medicine and Imaging 222
  • Oncology 266
  • Cancer Research 98
Replace Alexander N. Hanania with:
Alexander N. Hanania United States
Nima Nabavizadeh United States
Masaaki Kataoka Japan
Fidelma Flanagan Ireland
Houke M. Klomp Netherlands
C. Ferrer Albiach Spain
Ching‐Yeh Hsiung Taiwan
Carmela Romano Italy
Federica Matteucci Italy
Gabriel Boldt Canada
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Citations per field
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Alexander N. Hanania · 1×
Citations per year

Countries citing papers authored by Michele Fiore

Since Specialization
Citations

This map shows the geographic impact of Michele Fiore's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michele Fiore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Fiore more than expected).

Fields of papers citing papers by Michele Fiore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele Fiore. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michele Fiore. The network helps show where Michele Fiore may publish in the future.

Co-authors

The 25 scholars most cited alongside Michele Fiore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michele Fiore Line = papers co-authored together Michele Fiore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200970
2 201753
3 201948
4 201848
5 201541
6 201640
7 201737
8 201533
9 201929
10 201825
11 201723
12 200922
13 202221
14 200921
15 201420
16 202019
17 200818
18 202117
19 202017
20 201916

About Michele Fiore

Michele Fiore is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Radiation, having authored 96 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Pancreatic and Hepatic Oncology Research (9 papers), Advanced Radiotherapy Techniques (8 papers), Breast Cancer Treatment Studies (7 papers), AI in cancer detection (6 papers), Lung Cancer Treatments and Mutations (6 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Radiation (116 citations), Pulmonary and Respiratory Medicine (322 citations), Radiology, Nuclear Medicine and Imaging (222 citations), Oncology (266 citations) and Cancer Research (98 citations). Michele Fiore has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Sara Ramella, Rolando Maria D’Angelillo, Edy Ippolito, Lucio Trodella, Carlo Greco, Roberto Coppola, Damiano Caputo, Alessandro Coppola, Francesco Cellini and Vincenzo La Vaccara. Their work appears in journals such as Cancers, International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, La radiologia medica and Critical Reviews in Oncology/Hematology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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